US7668226B2 - Method and apparatus for estimating gain offsets for amplitude-modulated communication signals - Google Patents

Method and apparatus for estimating gain offsets for amplitude-modulated communication signals Download PDF

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US7668226B2
US7668226B2 US11/064,351 US6435105A US7668226B2 US 7668226 B2 US7668226 B2 US 7668226B2 US 6435105 A US6435105 A US 6435105A US 7668226 B2 US7668226 B2 US 7668226B2
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signal
receiver
traffic
estimated traffic
noise ratio
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US20060188006A1 (en
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Douglas Cairns
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Telefonaktiebolaget LM Ericsson AB
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Priority to US11/064,351 priority Critical patent/US7668226B2/en
Priority to EP06707290A priority patent/EP1851868B1/en
Priority to AT06707290T priority patent/ATE553544T1/de
Priority to CN2006800047904A priority patent/CN101120515B/zh
Priority to KR1020077017973A priority patent/KR20070106512A/ko
Priority to ES06707290T priority patent/ES2384331T3/es
Priority to PCT/EP2006/001775 priority patent/WO2006089785A1/en
Priority to JP2007555555A priority patent/JP5089403B2/ja
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Publication of US7668226B2 publication Critical patent/US7668226B2/en
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/04—TPC
    • H04W52/06—TPC algorithms
    • H04W52/16—Deriving transmission power values from another channel
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/02—Amplitude-modulated carrier systems, e.g. using on-off keying; Single sideband or vestigial sideband modulation
    • H04L27/06—Demodulator circuits; Receiver circuits
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/69—Spread spectrum techniques
    • H04B1/707—Spread spectrum techniques using direct sequence modulation
    • H04B1/7097—Interference-related aspects
    • H04B1/711—Interference-related aspects the interference being multi-path interference
    • H04B1/7115—Constructive combining of multi-path signals, i.e. RAKE receivers
    • H04B1/712—Weighting of fingers for combining, e.g. amplitude control or phase rotation using an inner loop
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/309—Measuring or estimating channel quality parameters
    • H04B17/336—Signal-to-interference ratio [SIR] or carrier-to-interference ratio [CIR]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/06—Dc level restoring means; Bias distortion correction ; Decision circuits providing symbol by symbol detection
    • H04L25/067—Dc level restoring means; Bias distortion correction ; Decision circuits providing symbol by symbol detection providing soft decisions, i.e. decisions together with an estimate of reliability
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/02—Amplitude-modulated carrier systems, e.g. using on-off keying; Single sideband or vestigial sideband modulation
    • H04L27/08—Amplitude regulation arrangements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/32—Carrier systems characterised by combinations of two or more of the types covered by groups H04L27/02, H04L27/10, H04L27/18 or H04L27/26
    • H04L27/34—Amplitude- and phase-modulated carrier systems, e.g. quadrature-amplitude modulated carrier systems
    • H04L27/38—Demodulator circuits; Receiver circuits
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B2201/00—Indexing scheme relating to details of transmission systems not covered by a single group of H04B3/00 - H04B13/00
    • H04B2201/69—Orthogonal indexing scheme relating to spread spectrum techniques in general
    • H04B2201/707—Orthogonal indexing scheme relating to spread spectrum techniques in general relating to direct sequence modulation
    • H04B2201/70701—Orthogonal indexing scheme relating to spread spectrum techniques in general relating to direct sequence modulation featuring pilot assisted reception
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B2201/00—Indexing scheme relating to details of transmission systems not covered by a single group of H04B3/00 - H04B13/00
    • H04B2201/69—Orthogonal indexing scheme relating to spread spectrum techniques in general
    • H04B2201/707—Orthogonal indexing scheme relating to spread spectrum techniques in general relating to direct sequence modulation
    • H04B2201/7097—Direct sequence modulation interference
    • H04B2201/709727—GRAKE type RAKE receivers

Definitions

  • the present invention generally relates to communication signal processing, and particularly relates to processing amplitude-modulated communication signals.
  • Communication signals as used in typical wireless communication systems commonly convey information via time-varying modulations in their frequency, or phase, or amplitude, or in some combination of those parameters.
  • W-CDMA Wideband Code Division Multiple Access
  • HSDPA High Speed Downlink Packet Access
  • HS-DSCH High Speed Downlink Shared Channel
  • Transmissions on the HS-DSCH use either Quadrature Phase Shift Keying (QPSK) or 16-ary Quadrature Amplitude Modulation (16QAM), depending on the data rate needed.
  • QPSK Quadrature Phase Shift Keying
  • (16QAM 16-ary Quadrature Amplitude Modulation
  • turbo decoding generally is used, at least for decoding traffic symbols modulated according to the 16QAM format. Since turbo decoding depends on having accurate “soft” symbol information, the receipt of amplitude-modulated traffic symbols imposes significant signal processing challenges. More particularly, the receiver generally must have an amplitude reference for the received traffic signal, so that the as-received amplitude of the traffic signal can be properly referenced for symbol detection and soft information determination.
  • Obtaining an amplitude reference for the received traffic signal may be achieved by transmitting additional information to the receiver, but the additional signaling overhead required for that approach represents just one of the disadvantages of such schemes.
  • Other approaches to determining an amplitude reference for the traffic signal involve relatively complex calculations, and/or involve assumed or modeled values relating the traffic and pilot signals. In the first case, maintaining a reasonably accurate amplitude reference imposes significant computational overhead on the receiver's signal processing elements. In the second case, the amplitude reference calculated by the receiver is no better than the accuracy or appropriateness of the assumed or modeled values.
  • the above challenges are not limited to WCDMA-based communication networks, or to 16QAM signal formats.
  • similar challenges may arise in the context of cdma2000-based systems, at least for certain signaling formats defined by the cdma2000 air interface standards.
  • the ability to determine accurate amplitude references is needed by all receivers adapted for the demodulation of signals having higher-order amplitude modulation formats, or otherwise adapted for high data rate applications where soft value information is needed for accurate symbol decoding.
  • a wireless communication receiver such as a mobile station or other type of portable terminal, implements a method of processing an amplitude-modulated traffic signal based on relating the gain offset between the traffic signal and a received reference signal to values known or computed from the reference signal.
  • the reference signal may be a pilot signal transmitted at a constant power, for example.
  • a method of processing the traffic signal comprises calculating a gain offset between the traffic signal and the reference signal based on a first signal-to-noise ratio determined from the reference signal and an average magnitude of the estimated traffic symbols.
  • the estimated traffic symbols then may be scaled based on the gain offset to obtain scaled estimated traffic symbols for subsequent processing. Scaling in this manner “corrects” the soft value information of the estimated traffic symbols and thus improves subsequent decoding performance.
  • the estimated traffic symbols may be generated by combining despread values of the traffic signal using soft combining weights determined from the reference signal. More particularly, generating estimated traffic symbols may comprise determining channel estimates and noise correlations from the reference signal, generating the soft combining weights as a function of the noise correlations and channel estimates, and combining despread values of the traffic signal taken over one or more symbol times of the reference signal using the soft combining weights to obtain the estimated traffic symbols. Note that in RAKE receiver embodiments of the wireless communication receiver, channel estimation and the determination of noise correlations for combining weight determination represent ongoing signal processing operations that are exploited for the computationally efficient gain offset determination methods taught herein.
  • relating the gain offset to values known or derivable from the reference signal comprises relating the average magnitude of the estimated traffic symbols and a first signal-to-noise ratio determined from the reference signal to the gain offset.
  • the receiver is configured to express the unknown gain offset as the square root of a difference value divided by the first signal-to-noise ratio squared, said difference value calculated as the average magnitude of the estimated traffic symbols minus the first signal-to-noise ratio.
  • That computational expression exploits the soft combining weights calculated from the reference signal, which are used for RAKE-combining the despread values of the traffic signal to obtain the estimated traffic symbols, and further exploits the signal-to-noise ratio calculation that may be made for the reference signal.
  • one or more embodiments of a wireless communication receiver include one or more processing circuits configured to calculate a gain offset between the traffic signal and the reference signal based on an average magnitude of the estimated traffic symbols and a first signal-to-noise ratio determined from the reference signal, and scale the estimated traffic symbols based on the gain offset to obtain scaled estimated traffic symbols for subsequent processing.
  • the same processing circuit(s) may be configured to generate estimated traffic symbols for the traffic signal based on soft combining weights determined from the reference signal, or they may be associated with a circuit configured to provide estimated traffic symbols for scaling.
  • a gain compensation circuit may be disposed in the signal-processing path between a RAKE receiver circuit and a decoding circuit.
  • the RAKE receiver circuit may be configured to generate despread values for the reference signal and the traffic signal, and use the despread values of the reference signal to estimate the channel, generate soft combining weights, and make an initial signal-to-noise ratio calculation. Then, the soft combining weights may be used to estimate the received traffic channel symbols, which are then used by the gain compensation circuit, along with the initial signal-to-noise ratio estimate, to calculate the gain offset between the reference signal and the traffic signal.
  • the reference signal may comprise a W-CDMA pilot signal and the traffic signal may comprise a HS-DSCH signal transmitted using a 16QAM format, or some other amplitude-modulated format.
  • the wireless communication receiver comprises a mobile station that includes hardware and/or software, e.g., program instructions stored in memory, configured to implement gain offset calculation according to the above methods, or variations thereof.
  • FIG. 1 is a block diagram of one embodiment of a wireless communication receiver that is configured to calculate a gain offset between an amplitude-modulated traffic signal and a reference signal received in association with the traffic signal.
  • FIG. 2 is a block diagram of one embodiment of a receiver circuit, including RAKE receiver processing elements, for use in the wireless communication receiver of FIG. 1 .
  • FIG. 3 is a logic flow diagram of one embodiment of gain offset calculations that can be implemented by a gain compensation circuit.
  • FIG. 4 is a logic flow diagram of one embodiment of overall received signal processing, including gain offset calculations, that may be implemented by the wireless communication receiver of FIG. 1 , for example.
  • FIG. 1 is a block diagram of an embodiment of a wireless communication receiver 10 that is configured to calculate the gain offset between a received traffic signal that is amplitude modulated, and a received reference signal, which may have been transmitted at a constant power.
  • traffic signal broadly connotes any modulated information signal that conveys control data, user data, etc.
  • the receiver 10 actually may comprise a portable communication device that includes both receiver and transmitter functions, and may offer additional user interface functions, depending on its intended purpose.
  • the wireless communication receiver 10 comprises a mobile station or other type of portable communication device or handset that is configured for use in a wireless communication network based on the W-CDMA standards.
  • the reference signal received at the wireless communication receiver 10 may comprise a Common Pilot Channel (C-PICH) signal transmitted at a constant power
  • the traffic signal received at the wireless communication receiver 10 may comprise a HS-DSCH signal, transmitted at a variable gain offset relative to the C-PICH.
  • the reference signal carries traffic symbols modulated according to the 16QAM format.
  • the illustrated embodiment of the wireless communication receiver 10 comprises a transmit/receive antenna assembly 12 , a switch (and/or duplexer) element 14 , a receiver circuit 16 , a transmitter circuit 18 , a system controller 22 , one or more Input/Output (I/O) interface circuits 24 , a microphone 26 , a speaker 28 , a keypad 30 , and a display screen 32 .
  • the receiver circuit 16 may comprise a mix of analog and digital circuits, and includes baseband digital signal processing circuitry in at least one embodiment.
  • the transmitter circuit 18 may include a mix of analog and digital circuits, and includes baseband digital signal processing circuitry in at least one embodiment.
  • the system controller 22 may comprise a microprocessor, Digital Signal Processor (DSP), Field Programmable Gate Array (FPGA), Application Specific Integrated Circuit (ASIC), or other digital logic circuit, and may be implemented apart from the baseband processing circuits of the receiver and transmitter circuits 16 and 18 , respectively, or may integrated with such circuits.
  • DSP Digital Signal Processor
  • FPGA Field Programmable Gate Array
  • ASIC Application Specific Integrated Circuit
  • the wireless communication receiver 10 generally includes one or more memory devices, for storing default parameters, provisioning information, and program instructions for system control, signal processing, etc.
  • FIG. 2 provides a more detailed block diagram of one embodiment of the receiver circuit 16 , wherein it comprises a receiver front-end 40 , a traffic signal despreader circuit 42 , a reference signal despreader circuit 44 , a channel estimation circuit 46 , a combining weight generator 48 , a combining circuit 50 , a gain compensation circuit 52 , and a decoding circuit 54 . Not all operational details of the illustrated processing elements are germane to understanding gain compensation as carried out by the gain compensation circuit 52 , but it may be helpful to quickly step through the receiver circuit's overall signal processing operations.
  • the reference and traffic signals are received as a composite CDMA signal, having separately coded channel components.
  • the composite signal generally is filtered and amplified as needed by the receiver front-end circuit 40 , and converted to a stream of digital samples. These digital samples are provided as inputs to the traffic and reference signal despreading circuits 42 and 44 , respectively.
  • the reference signal despreading circuit 44 comprises one or more correlators that generally can be aligned with one or more multipath delay components of the received composite signal.
  • the despreading circuit 44 outputs despread values of the reference signal, which are used by the channel estimation circuit 46 to generate an estimate of the propagation channel, and used by the combining weight generator 48 to generate soft combining weights.
  • the receiver circuit 16 may be configured to operate as a “Generalized” RAKE receiver (G-RAKE). More particularly, the combining weight generator 48 may be configured for operation according to G-RAKE receiver processing, wherein the soft combining weights are generated in consideration of noise cross-correlations across the individual correlators of the despreading circuits 42 , so that the soft combining weights effect interference suppression as part of RAKE combining operations. In another embodiment, the combining weight generator 48 is configured for operation according to “RAKE+” (RAKE “plus”) receiver processing, wherein the soft combining weights are generated in consideration of the noise power statistics—i.e., the diagonal elements of a noise correlation matrix corresponding to the set of correlators in the despreading circuit 42 .
  • the noise power statistics i.e., the diagonal elements of a noise correlation matrix corresponding to the set of correlators in the despreading circuit 42 .
  • the combining circuit 50 combines the despread values of the traffic signal, as output by the correlators of the despreading circuit 42 , using the soft combining weights generated by the combining weight generator 48 , and outputs RAKE combined sample values that comprise estimates of the traffic symbols received in the traffic signal.
  • despreading circuits 42 and 44 , the channel estimator 46 , the combining weight generator 48 , and the combining circuit 50 collectively function as a RAKE receiver circuit comprising part of the larger receiver circuit 16 . It should be understood that additional elements may be present in the receiver circuit 16 , such as delay searcher circuits, finger placement circuits, etc., that are not illustrated for clarity.
  • the traffic signal generally is transmitted at a variable gain offset relative to the reference signal. Therefore, because the soft combining weights are determined from the reference signal rather than from the traffic signal, the soft value information embodied in the estimated traffic will be incorrect unless properly scaled. While the time-varying gain offset used for transmitting the traffic signal generally is unknown to the wireless communication receiver 10 , the gain compensation circuit 52 is configured to calculate a dynamic estimate of the gain offset, and to scale the estimated traffic symbols output from the (RAKE) combining circuit 50 based on the estimated gain offset.
  • FIG. 3 broadly illustrates processing flow logic for one or more embodiments of the gain compensation circuit 52 .
  • the gain compensation circuit 52 calculates an estimate of the gain offset between the reference signal and traffic signal as a function of a “first” signal-to-noise ratio (SNR) that is determined from the reference signal, and the average magnitude of the estimated traffic symbols (Step 100 ). With the gain offset thus estimated, processing continues with scaling the estimated traffic symbols to obtain scaled estimated traffic symbols, which are then provided for subsequent signal processing, e.g., decoding to recover their encoded information bits (Step 102 ).
  • SNR signal-to-noise ratio
  • the above gain offset estimation process which is detailed immediately below, represents a comparatively straightforward set of associated computations that do not impose significant additional overhead relative to the computations being carried out for RAKE processing the received traffic signal. Perhaps more advantageously, the estimation process does not rely on “default” or assumed parameters relating the reference and traffic signals. Indeed, the calculations depend on values generated directly or indirectly from the reference signal.
  • FIG. 4 illustrates overall received signal processing details for the receiver circuit 16 , wherein processing of the received traffic signal includes generating a channel estimate from the reference signal, h REF , generating soft combining weights from the reference signal, W REF , and generating a first signal-to-noise ratio (SNR), Y REF , from the reference signal (Step 110 ).
  • processing of the received traffic signal includes generating a channel estimate from the reference signal, h REF , generating soft combining weights from the reference signal, W REF , and generating a first signal-to-noise ratio (SNR), Y REF , from the reference signal (Step 110 ).
  • SNR signal-to-noise ratio
  • R comprises a noise correlation matrix (for G-RAKE processing with interference and noise suppression), or comprises a diagonal matrix of the noise powers (for RAKE+ processing with noise suppression).
  • the receiver circuit 16 calculates an estimate of the traffic symbols received in the traffic symbol over one or more reference symbols (Step 112 ), e.g., over one or more pilot symbol periods in a W-CDMA or cdma2000 embodiment of the wireless communication receiver 10 .
  • the estimated traffic symbol(s), ⁇ circumflex over (z) ⁇ may be generated as a function of the soft combining weights and the channel estimate, both of which are determined from the reference signal on an ongoing basis.
  • the gain compensation circuit 52 To properly scale the soft value information embodied in the estimated traffic symbols, the gain compensation circuit 52 generates an estimate of the gain offset based on relating it to the average magnitude of the estimated traffic symbols and the reference signal SNR, ⁇ REF (Step 114 ). In one embodiment, relating those values comprises estimating the gain offset, g, based on an expression given as,
  • E ⁇ circumflex over (z) ⁇ circumflex over (z) ⁇ * ⁇ represents the average magnitude of the estimated traffic symbols before scaling.
  • N a convenient averaging interval measured in traffic symbol times.
  • N is related to the Doppler frequency, but its value also can be fixed for implementation efficiency.
  • the gain compensation circuit 52 optionally may be configured to smooth the gain offset value based on some form of filtering (Step 116 ).
  • Step 118 Processing continues with the computation of a second SNR value, with this second SNR value being determined for the traffic signal, rather than for the reference signal, as was done with the first computed SNR (Step 118 ).
  • the traffic signal SNR computation may be implemented by the gain compensation circuit 52 , or by another element within the receiver circuit 16 . (Note that in embodiments of the receiver circuit 16 where the traffic signal SNR is not used in decoding the estimated traffic symbols, this step may be skipped.)
  • the gain compensation circuit 52 uses the calculated gain offset, g, to generate scaled estimated traffic symbols (Step 120 ). While the gain compensation circuit 52 can be configured to implement a variety of gain scaling functions, in at least one embodiment, the gain compensation circuit 52 outputs scaled estimated traffic symbols, ⁇ tilde over (z) ⁇ , by normalizing the estimated traffic symbol(s), ⁇ circumflex over (z) ⁇ , according to the following expression,
  • the scaled estimated traffic symbols can then be provided to the decoding circuit 54 , whose performance is thereby improved by the proper scaling of the soft value information embodied in the scaled estimated traffic symbols (Step 122 ).
  • the scaled estimated traffic symbols are decoded to obtain traffic signal data (i.e., the original information bits included in the transmitted traffic signal) based on Log-Likelihood-Ratio (LLR) processing, which also makes use of the traffic signal SNR computed in Step 118 .
  • LLR Log-Likelihood-Ratio
  • an expression for determining the jth bit, b j is given as,
  • LLR ⁇ ( b j ) ⁇ TRAFFIC ⁇ [ max ⁇ s ⁇ i ⁇ ⁇ ⁇ s ⁇ 0 ⁇ ( j ) ⁇ ( 2 ⁇ Re ⁇ ( s ⁇ i * ⁇ z ⁇ ) - ⁇ ⁇ s ⁇ i ⁇ 2 ) - max ⁇ s ⁇ i ⁇ ⁇ ⁇ s ⁇ 1 ⁇ ( j ) ⁇ ( 2 ⁇ ⁇ Re ⁇ ( s ⁇ i * ⁇ z ⁇ ) - ⁇ ⁇ s ⁇ i ⁇ 2 ) ] , where s i represents one of the defined modulation symbols in the modulation constellation used for the traffic signal.
  • the present invention comprises a method and apparatus for calculating a gain offset between an (amplitude-modulated) traffic signal and reference signal, based on relating the gain offset to values known or derived from the reference signal, such as by expressing the gain offset as a function of the average magnitude of estimated traffic symbols and a reference signal SNR.
  • the present invention is not limited by the foregoing details, nor is it limited by the accompanying drawings. Rather, the present invention is limited only by the following claims and their legal equivalents.

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US11/064,351 2005-02-23 2005-02-23 Method and apparatus for estimating gain offsets for amplitude-modulated communication signals Expired - Fee Related US7668226B2 (en)

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Application Number Priority Date Filing Date Title
US11/064,351 US7668226B2 (en) 2005-02-23 2005-02-23 Method and apparatus for estimating gain offsets for amplitude-modulated communication signals
KR1020077017973A KR20070106512A (ko) 2005-02-23 2006-02-22 무선 통신 수신기에서 진폭-변조된 트래픽 신호를 처리하는방법 및 진폭-변조된 트래픽 신호를 처리하도록 구성된무선 통신 수신기
AT06707290T ATE553544T1 (de) 2005-02-23 2006-02-22 Verfahren und vorrichtung zur schätzung von verstärkungsoffsets für amplitudenmodulierte kommunikationssignale
CN2006800047904A CN101120515B (zh) 2005-02-23 2006-02-22 估计调幅通信信号的增益偏差的方法和装置
EP06707290A EP1851868B1 (en) 2005-02-23 2006-02-22 A method and apparatus for estimating gain offsets for amplitude-modulated communication signals
ES06707290T ES2384331T3 (es) 2005-02-23 2006-02-22 Un método y un aparato para estimar las compensaciones de ganancia para señales de comunicación moduladas en amplitud
PCT/EP2006/001775 WO2006089785A1 (en) 2005-02-23 2006-02-22 A method and apparatus for estimating gain offsets for amplitude-modulated communication signals
JP2007555555A JP5089403B2 (ja) 2005-02-23 2006-02-22 振幅変調された通信信号のゲインオフセットを推定する方法及び装置

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110150059A1 (en) * 2009-12-23 2011-06-23 Andreas Cedergren Decision Boundary Estimation for MIMO Wireless Receivers
US20160049970A1 (en) * 2014-08-18 2016-02-18 Intel IP Corporation Radio communication devices and methods for controlling a radio communication device
US10838810B2 (en) * 2013-05-22 2020-11-17 Seagate Technology Llc Systems and methods for inter-cell interference mitigation in a flash memory

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8149964B2 (en) * 2007-01-05 2012-04-03 Qualcomm, Incorporated Symbol scaling with automatic gain control for wireless communication
US7738535B2 (en) 2007-05-22 2010-06-15 Telefonaktiebolaget Lm Ericsson (Publ) Method and apparatus for removing pilot channel amplitude dependencies from RAKE receiver output
US8149929B2 (en) * 2008-06-17 2012-04-03 Telefonaktiebolaget L M Ericsson (Publ) Receiver and method for processing radio signals using soft pilot symbols
US20090316674A1 (en) * 2008-06-18 2009-12-24 Yi-Pin Eric Wang Method and apparatus for demodulation of qam signal using symbol-specific amplitude reference estimation
US8605771B2 (en) 2009-12-15 2013-12-10 Telefonaktiebolaget L M Ericsson (Publ) Data to pilot ratio estimation

Citations (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5852630A (en) * 1997-07-17 1998-12-22 Globespan Semiconductor, Inc. Method and apparatus for a RADSL transceiver warm start activation procedure with precoding
US6430214B1 (en) 2000-05-22 2002-08-06 Motorola, Inc. Fading resistant multi-level QAM receiver
US20020141486A1 (en) * 2001-01-08 2002-10-03 Bottomley Gregory Edward Apparatus and methods for intersymbol interference compensation in spread spectrum communications
US20030133520A1 (en) 2002-01-15 2003-07-17 Srikant Jayaraman Determining combiner weights and log likelihood ratios for symbols transmitted on diversity channels
US20030156563A1 (en) 2002-02-20 2003-08-21 Aris Papasakellariou Data signal demodulation in a communication system
US6671268B2 (en) 1999-04-08 2003-12-30 Qualcomm, Incorporated Channel estimation in a CDMA wireless communication system
US20040028121A1 (en) * 2002-01-25 2004-02-12 Kabushiki Kaisha Toshiba Receiver processing systems
US20040048619A1 (en) 2002-08-01 2004-03-11 Hun-Kee Kim Apparatus and method for detecting a power ratio between a traffic channel and a pilot channel in a mobile communication system
EP1422896A1 (en) 2002-11-22 2004-05-26 Telefonaktiebolaget LM Ericsson (publ) Calculation of soft decision values using reliability information of the amplitude
WO2004049661A1 (en) * 2002-11-22 2004-06-10 Telefonaktiebolaget Lm Ericsson (Publ) Calculation of soft decision values using reliability information of the amplitude
JP2004166004A (ja) 2002-11-13 2004-06-10 Matsushita Electric Ind Co Ltd 復調装置
US20040264591A1 (en) * 2003-06-30 2004-12-30 Telefonaktiebolaget Lm Ericsson (Publ) Method and system for M-QAM detection in communication systems
US20050282500A1 (en) * 2004-06-16 2005-12-22 Wang Yi-Pin E Benign interference suppression for received signal quality estimation
US7020791B1 (en) * 2002-09-19 2006-03-28 Nortel Networks Limited Clock recovery using a double-exponential smoothing process
US20060171451A1 (en) * 2004-11-05 2006-08-03 Interdigital Technology Corporation Adaptive equalizer with a dual-mode active taps mask generator and a pilot reference signal amplitude control unit
US7170924B2 (en) * 2001-05-17 2007-01-30 Qualcomm, Inc. System and method for adjusting combiner weights using an adaptive algorithm in wireless communications system
US7269205B2 (en) * 2003-09-26 2007-09-11 Telefonaktiebolaget Lm Ericsson (Publ) Method and apparatus for signal demodulation
US7315578B2 (en) * 2003-12-24 2008-01-01 Telefonaktiebolaget Lm Ericsson (Publ) Fast soft value computation methods for gray-mapped QAM

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE60045499D1 (de) * 1999-04-02 2011-02-17 Ntt Docomo Inc Vorrichtung und Verfahren zur Fadingfrequenzentscheidung
US7020175B2 (en) * 2000-09-21 2006-03-28 Motorola, Inc. MMSE reception of DS-CDMA with transmit diversity

Patent Citations (21)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5852630A (en) * 1997-07-17 1998-12-22 Globespan Semiconductor, Inc. Method and apparatus for a RADSL transceiver warm start activation procedure with precoding
US6671268B2 (en) 1999-04-08 2003-12-30 Qualcomm, Incorporated Channel estimation in a CDMA wireless communication system
US6430214B1 (en) 2000-05-22 2002-08-06 Motorola, Inc. Fading resistant multi-level QAM receiver
US6975672B2 (en) * 2001-01-08 2005-12-13 Ericsson Inc. Apparatus and methods for intersymbol interference compensation in spread spectrum communications
US20020141486A1 (en) * 2001-01-08 2002-10-03 Bottomley Gregory Edward Apparatus and methods for intersymbol interference compensation in spread spectrum communications
US7170924B2 (en) * 2001-05-17 2007-01-30 Qualcomm, Inc. System and method for adjusting combiner weights using an adaptive algorithm in wireless communications system
US20030133520A1 (en) 2002-01-15 2003-07-17 Srikant Jayaraman Determining combiner weights and log likelihood ratios for symbols transmitted on diversity channels
US20040028121A1 (en) * 2002-01-25 2004-02-12 Kabushiki Kaisha Toshiba Receiver processing systems
US20030156563A1 (en) 2002-02-20 2003-08-21 Aris Papasakellariou Data signal demodulation in a communication system
US20040048619A1 (en) 2002-08-01 2004-03-11 Hun-Kee Kim Apparatus and method for detecting a power ratio between a traffic channel and a pilot channel in a mobile communication system
US7020791B1 (en) * 2002-09-19 2006-03-28 Nortel Networks Limited Clock recovery using a double-exponential smoothing process
JP2004166004A (ja) 2002-11-13 2004-06-10 Matsushita Electric Ind Co Ltd 復調装置
WO2004049661A1 (en) * 2002-11-22 2004-06-10 Telefonaktiebolaget Lm Ericsson (Publ) Calculation of soft decision values using reliability information of the amplitude
US20060126761A1 (en) * 2002-11-22 2006-06-15 Bo Bernhardsson Calculation of soft decision values using reliability information of the amplitude
EP1422896A1 (en) 2002-11-22 2004-05-26 Telefonaktiebolaget LM Ericsson (publ) Calculation of soft decision values using reliability information of the amplitude
US20040264591A1 (en) * 2003-06-30 2004-12-30 Telefonaktiebolaget Lm Ericsson (Publ) Method and system for M-QAM detection in communication systems
US7154966B2 (en) * 2003-06-30 2006-12-26 Telefonaktiebolaget L M Ericsson (Publ) Method and system for M-QAM detection in communication systems
US7269205B2 (en) * 2003-09-26 2007-09-11 Telefonaktiebolaget Lm Ericsson (Publ) Method and apparatus for signal demodulation
US7315578B2 (en) * 2003-12-24 2008-01-01 Telefonaktiebolaget Lm Ericsson (Publ) Fast soft value computation methods for gray-mapped QAM
US20050282500A1 (en) * 2004-06-16 2005-12-22 Wang Yi-Pin E Benign interference suppression for received signal quality estimation
US20060171451A1 (en) * 2004-11-05 2006-08-03 Interdigital Technology Corporation Adaptive equalizer with a dual-mode active taps mask generator and a pilot reference signal amplitude control unit

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
"A method for Blind Determination of Pilot to Data Power Ration for QAM Signals", TSG-RAN Working Group 1, Meeting #21, Aug. 2001.
"Signalling of CPICH and DSCH Power Ratio for M-ary Demodulation", TSG-RAN Working Group 1, Meeting #16. Sep. 10-13, 2000.
U.S. Appl. No. 10/672,492 to Wang.

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110150059A1 (en) * 2009-12-23 2011-06-23 Andreas Cedergren Decision Boundary Estimation for MIMO Wireless Receivers
US8385477B2 (en) * 2009-12-23 2013-02-26 Telefonaktiebolaget Lm Ericsson (Publ) Decision boundary estimation for MIMO wireless receivers
US10838810B2 (en) * 2013-05-22 2020-11-17 Seagate Technology Llc Systems and methods for inter-cell interference mitigation in a flash memory
US20160049970A1 (en) * 2014-08-18 2016-02-18 Intel IP Corporation Radio communication devices and methods for controlling a radio communication device
US9673850B2 (en) * 2014-08-18 2017-06-06 Intel IP Corporation Radio communication devices and methods for controlling a radio communication device

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JP5089403B2 (ja) 2012-12-05
CN101120515A (zh) 2008-02-06
ATE553544T1 (de) 2012-04-15
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US20060188006A1 (en) 2006-08-24
CN101120515B (zh) 2012-09-05

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